Data Scientist, Analytics

AECOM; Madison (WI); Remote; USD 189,000 - 197,000; Full time

Job summary

AECOM is seeking a Data Scientist who will leverage data to drive product strategies for Meta Platforms, Inc. This role involves working with vast data sets, performing statistical analyses, and collaborating with various departments to enhance product effectiveness. The position requires expertise in data mining, SQL, Python, and machine learning techniques, ensuring a profound impact in evolving Meta's innovative projects.

Qualifications

• Bachelor's degree and 24 months of related experience required.
• Experience with data query languages, machine learning, and quantitative techniques is essential.

Responsibilities

• Work with large data sets to solve complex problems.
• Define strategies for products based on data analysis.
• Partner with cross-functional teams to drive product strategy.

Skills

Quantitative analysis

Data mining

SQL

Python

Machine learning techniques

Statistical analysis

Education

Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field

Tools

R

SAS

Matlab

Job description

**Summary:**

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Data Scientist, Analytics Responsibilities:

1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.

2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.

3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.

4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.

5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

6. Telecommuting is permitted from anywhere in the United States.

**Minimum Qualifications:**

Minimum Qualifications:

7. Requires Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field and 24 months of experience in the job offered or in a data analytics-related position. Foreign degree equivalent accepted

8. Requires 24 months of experience in the following:

9. 1. Performing quantitative analysis, including data mining on highly complex data sets

10. 2. Data querying languages, including SQL

11. 3. Scripting languages, including Python

12. 4. Statistical or mathematical software, including R, SAS, or Matlab

13. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting

14. 6. Machine learning techniques

15. 7. ETL (Extract, Transform, Load) processes

16. 8. Relational databases

17. 9. Large-scale data processing infrastructures using distributed systems and

18. 10. Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.

**Public Compensation:**

$189,953/year to $196,900/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].